煤矿安全2023，Vol.54Issue(12)：182-190,9.DOI:10.13347/j.cnki.mkaq.2023.12.022
无机-有机综合指标在煤层顶板涌水水源判别中的应用
Application of inorganic-organic comprehensive index in identifying water inrush source of coal seam roof
摘要
Abstract
Conventional inorganic hydrochemical parameters are difficult to distinguish the water source of coal seam roof water gushing in some mine fields.In order to solve this problem,a mine field in Yuheng Mining Area is taken as the research area.The organic indicators including TOC,UV254 and dissolved organic matter(DOM)are added on the basis of inorganic indicators includ-ing K++Na+,Ca2+,Mg2+,Cl-,SO42-,HCO3-and TDS to explore the function of inorganic-organic comprehensive index in identify-ing the water inrush source of coal seam roof.The main components and fluorescence intensity of DOM were obtained by fluores-cence fingerprinting and PARAFAC.After principal component analysis(PCA)of the inorganic and inorganic-organic data sets of water samples,the inorganic index discriminant model and inorganic-organic comprehensive index discriminant model were con-structed by using random forest algorithm(RF).And the types of eight water samples to be tested are also correctly identified.The results show that the performance of comprehensive discriminant model is always better than that of inorganic discriminant model.Under the comprehensive model,the average precision,average precision,average recall and f1 harmonic index of RF algorithm reached 93.14%,94.79%,95.08%and 93.73%respectively,which increased by 9.71%,11.84%,12.25%and 11.5%compared with the inorganic model,and the back generation accuracy was 98.63%.The inorganic-organic comprehensive index can significantly improve the accuracy of identifying the water inrush source of coal seam roof.关键词
水源判别/有机/荧光指纹/PARAFAC/PCA/RFKey words
water source discrimination/organic/fluorescent fingerprint/PARAFAC/PCA/RF分类
矿业与冶金引用本文复制引用
孙钧青,王皓,杨建,尚宏波,王甜甜,乔伟..无机-有机综合指标在煤层顶板涌水水源判别中的应用[J].煤矿安全,2023,54(12):182-190,9.基金项目
中国煤炭科工集团有限公司科技创新创业资金专项重点资助项目(2023-TD-ZD001-001) （2023-TD-ZD001-001）
陕西省自然科学基础研究计划资助项目(2022JQ-471) （2022JQ-471）
中煤科工西安研究院(集团)有限公司科技创新基金顶层设计资助项目(2020XAYDC03) （集团）
